Fashion & apparel case study: ₹20,000 to ₹26,994 monthly revenue in 2 months

New ads per month

1. 1

   Research & offer · Week 1 to 2

   What we do

   We set up the base for a smaller fashion store before any budget rises. We open with three documents: a website audit, a creative brief and a media schedule by month. Before budget rises, we close the gaps that stop a visitor buying: missing reviews, an unclear return window, no about page and no prepaid incentive.

   Why

   A smaller fashion store in Delhi NCR grows monthly revenue in 2 months, from ₹20,000 to ₹1L (5x). Fewer than one in ten of our measured accounts grew that fast in the same time, so the case study follows the pace of that top tenth rather than forcing the number. The brand in this scenario named no single problem, so the case study starts from the numbers. Without a brief, each creative and budget decision starts from scratch. Conversion rate caps what any ad budget can return.

   How it works

   All three are shared with the brand's team before any budget step. Site fixes are handed over in the first weeks, before budget rises.

2. 2

   Measurement & reviews · Week 1 to 9

   What we do

   We log store orders every day beside what the ad platform claims. We set the path from ₹20,000 to ₹1L as written weekly numbers, and read every review against the week so far. We raise budget in a week only while return holds; where it starts to slip too far, we hold it.

   Why

   It did not report a return on ad spend, so the case study starts from what measured fashion stores of that size hold. Platform attribution over-counts, so budget decisions sit on the store-side number. Written monthly numbers expose a slow week while there is still time to act.

   How it works

   Every budget call starts from the store's orders. The week's number is on the page at every review. A week whose return starts to slip past that point keeps its budget instead.

3. 3

   Creative testing · Week 1 to 4

   What we do

   We lead the testing layer with video, catalogue ads and static image, building to about a dozen new ads a month by the last four weeks, with every format close to the account's return. The four learning weeks run at a low daily budget that moves up only when orders come through. We run every lead product in a campaign of its own, read every week. We run static images next to the video ads.

   Why

   The first rupees are for finding the buyer, not for volume. Products that do not sell show up inside a week, not after a month of shared budget. Among the fashion accounts we measured, video was the format most often in the top creative tier.

   How it works

   The low budget stays until orders confirm the buyer. Losing products are paused within a week and budget moves to the winners. Statics join once a winning video is found. More spend buys more new ads, led by video ahead of catalogue ads.

4. 4

   Scaling · Week 5 to 9

   What we do

   Through Week 5 to Week 9, we push as far toward ₹1L as return allows: the budget rises gently while return holds, and Instagram Feed carries the most spend and Instagram Reels the next. We recover abandoned checkouts with WhatsApp messages as traffic grows. We scale into the festive and wedding calendar with seasonal collection campaigns.

   Why

   Across Week 5 to Week 9, the budget rises gently, while return on spend holds. Two of these weeks stop their budget step where return starts to slip too far. Return holds through these weeks because each budget step stops where return starts to slip. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   WhatsApp recovery runs alongside paid retargeting, not instead of it. Budget moves between regions as the calendar turns. In the last four weeks, Instagram Feed takes the most spend and Instagram Reels the next most. Most spend reaches people who have not bought yet; past visitors return more per rupee.

1. Week 1

   Learning starts: a small daily budget carries the first ads, and store orders are matched to tracking. The daily sheet now matches platform revenue to store orders. The website audit, creative brief and media schedule are shared.

   • Revenue ₹4,533
   • ROAS 1.87x
   • Ad spend ₹2,430
2. Week 2

   The first read of the ads is in, and the ones that do not convert stop. Spend holds, and return holds.

   • Revenue ₹4,717
   • ROAS 1.86x
   • Ad spend ₹2,536
3. Week 3

   Store fixes and offers go live while orders confirm.

   • Revenue ₹4,706
   • ROAS 1.90x
   • Ad spend ₹2,474
4. Week 4

   By the end of learning, the buyer is known and one ad has won.

   • Revenue ₹4,659
   • ROAS 1.96x
   • Ad spend ₹2,376
5. Week 5

   Scaling starts: the seasonal collection campaign leads this period's spend mix. Spend holds, and return holds.

   • Revenue ₹4,950
   • ROAS 1.90x
   • Ad spend ₹2,604
6. Week 6

   Products that do not sell are paused and budget moves to the winners. Spend steps up, and return holds.

   • Revenue ₹5,866
   • ROAS 1.91x
   • Ad spend ₹3,076
7. Week 7

   Abandoned checkouts get WhatsApp follow-ups.

   • Revenue ₹6,618
   • ROAS 1.88x
   • Ad spend ₹3,512
8. Week 8

   Statics go live next to the winning video. Budget is raised only as far as return allows: spend holds, and return holds.

   • Revenue ₹7,123
   • ROAS 1.88x
   • Ad spend ₹3,788
9. Week 9

   The seasonal collection campaign leads this period's spend mix. Budget is raised only as far as return allows: spend holds, and return holds. ₹1L is not reached in the time, because the case study follows what the fastest tenth of our measured accounts reached. Cost per purchase ends higher than in the learning phase.

   • Revenue ₹7,387
   • ROAS 1.95x
   • Ad spend ₹3,790

1. 1

   Instagram Reels carries the largest share of spend in this industry's measured accounts.

2. 2

   Keep Video as the main format: it carried most creative spend and also reached the top creative tier most often in this industry's measured accounts.

3. 3

   Raise budget only while return on spend holds; cut it when return drops.